Ji-Tseng Fang

Dr. Ji-Tseng Fang

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Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 October 2024 in Molecular Psychiatry
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JMJunji Ma
Junji Ma
MCMenglu Chen
Menglu Chen
GLGeng-Hao Liu
Geng-Hao Liu
MGMengxia Gao
Mengxia Gao
NCNing-Hung Chen
Ning-Hung Chen
TLTatia M.c. Lee
Tatia M.c. Lee
Understanding how sleep affects the glymphatic system and human brain networks is crucial for elucidating the neurophysiological mechanism underpinning aging-related memory declines. We analyzed a multimodal dataset collected through magnetic resonance imaging (MRI) and polysomnographic recording from 72 older adults. A proxy of the glymphatic functioning was obtained from the Diffusion Tensor Image Analysis along the Perivascular Space (DTI-ALPS) index. Structural and functional brain networks were constructed based on MRI data, and coupling between the two networks (SC-FC coupling) was also calculated. Correlation analyses revealed that DTI-ALPS was negatively correlated with sleep quality measures [e.g., Pittsburgh Sleep Quality Index (PSQI) and apnea-hypopnea index]. Regarding human brain networks, DTI-ALPS was associated with the strength of both functional connectivity (FC) and structural connectivity (SC) involving regions such as the middle temporal gyrus and parahippocampal gyrus, as well as with the SC-FC coupling of rich-club connections. Furthermore, we found that DTI-ALPS positively mediated the association between sleep quality and rich-club SC-FC coupling. The rich-club SC-FC coupling further mediated the association between DTI-ALPS and memory function in good sleepers but not in poor sleepers. The results suggest a disrupted glymphatic-brain relationship in poor sleepers, which underlies memory decline. Our findings add important evidence that sleep quality affects cognitive health through the underlying neural relationships and the interplay between the glymphatic system and multimodal brain networks.

26 April 2018 in Critical Care
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Journal Article
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JWJian-Jhong Wang
Jian-Jhong Wang
NCNai-Hsin Chi
Nai-Hsin Chi
THTao-Min Huang
Tao-Min Huang
RCRory Connolly
Rory Connolly
LCLiang Wen Chen
Liang Wen Chen
KWKwan-Dun Wu
Kwan-Dun Wu
Acute kidney injury (AKI) after cardiovascular surgery is a serious complication. Little is known about the ability of novel biomarkers in combination with clinical risk scores for prediction of advanced AKI. In this prospectively conducted multicenter study, urine samples were collected from 149 adults at 0, 3, 6, 12 and 24 h after cardiovascular surgery. We measured urinary hemojuvelin (uHJV), kidney injury molecule-1 (uKIM-1), neutrophil gelatinase-associated lipocalin (uNGAL), α-glutathione S-transferase (uα-GST) and π-glutathione S-transferase (uπ-GST). The primary outcome was advanced AKI, under the definition of Kidney Disease: Improving Global Outcomes (KDIGO) stage 2, 3 and composite outcomes were KDIGO stage 2, 3 or 90-day mortality after hospital discharge. Patients with advanced AKI had significantly higher levels of uHJV and uKIM-1 at 3, 6 and 12 h after surgery. When normalized by urinary creatinine level, uKIM-1 in combination with uHJV at 3 h post-surgery had a high predictive ability for advanced AKI and composite outcome (AUC = 0.898 and 0.905, respectively). The combination of this biomarker panel (normalized uKIM-1, uHJV at 3 h post-operation) and Liano’s score was superior in predicting advanced AKI (AUC = 0.931, category-free net reclassification improvement of 1.149, and p < 0.001). When added to Liano’s score, normalized uHJV and uKIM-1 levels at 3 h after cardiovascular surgery enhanced the identification of patients at higher risk of progression to advanced AKI and composite outcomes.

1 December 2015 in Critical Care
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YPYUN-SHING PENG
YUN-SHING PENG
YCYung-Chang Chen
Yung-Chang Chen
YTYa-Chung Tian
Ya-Chung Tian
CYChih-Wei Yang
Chih-Wei Yang
JLJau-Min Lien
Jau-Min Lien
MTMing-Hung Tsai
Ming-Hung Tsai
Introduction: Predicting severity of pancreatitis is an important goal. Clinicians are still searching for novel and simple biomarkers that can better predict persistent organ failure (OF). Lipoproteins, especially high-density lipoprotein (HDL), and apolipoprotein A-I (APO A-I), have been shown to have anti-inflammation effects in various clinical settings. Severe acute pancreatitis (SAP) is associated with hypo-lipoproteinemia. We studied whether the concentrations of HDL and APO A-I can predict persistent OF in patients with predicted SAP admitted to the ICU. Methods: In 66 patients with predicted SAP, we prospectively evaluated the relationship between lipid levels, inflammatory cytokines and clinical outcomes, including persistent OF and hospital mortality. Blood samples were obtained within 24 hours of admission to the ICU. Results: HDL and APO A-I levels were inversely correlated with various disease severity scores. Patients with persistent OF had lower levels of HDL and APO A-I, while those with transient OF had lower levels of interleukin-6, tumor necrosis factor-α and lower rates of hospital mortality. Meanwhile, hospital non-survivors had lower concentrations of HDL, and APO A-I compared to the survivors. By using the area under the receiver operating characteristic (AUROC) curve, both HDL and APO A-I demonstrated an excellent discriminative power for predicting persistent OF among all patients (AUROC 0.912 and 0.898 respectively) and among those with OF (AUROC 0.904 and 0.895 respectively). Pair-wise comparison of AUROC showed that both HDL and APO A-I had better discriminative power than C-reactive protein to predict persistent OF. Conclusions: Serum levels of HDL and APO A-I at admission to the ICU are inversely correlated with disease severity in patients with predicted SAP and can predict persistent OF in this clinical setting.

1 September 2017 in ACS Applied Materials & Interfaces
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Journal Article
Closed access
CYChia-Cheng Yu
Chia-Cheng Yu
BHBo-Cheng Ho
Bo-Cheng Ho
Ruey-Shin JuangRuey-Shin Juang
Ruey-Shin Juang
Yu-Sheng HsiaoYu-Sheng Hsiao
Yu-Sheng Hsiao
RNR. Venkata Ram Naidu
R. Venkata Ram Naidu
PCPeilin Chen
Peilin Chen

1 May 2019 in Journal of the Formosan Medical Association
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Journal Article
Open access
CKChih-Chin Kao
Chih-Chin Kao
WYWEI-SHUN YANG
WEI-SHUN YANG
JFJi-Tseng Fang
Ji-Tseng Fang
KLKathleen D. Liu
Kathleen D. Liu
VWVin-Cent Wu
Vin-Cent Wu
Despite supportive care with renal replacement therapy, acute kidney injury (AKI) remains linked with increased short and long-term mortality, not just because of renal failure but also because of accompanying remote organ dysfunction. Increasing evidence from animal studies suggests that numerous factors contribute both to the development of AKI and the impairment of various vital organs, including pro-inflammatory cytokine expression, leukocyte infiltration, vascular permeability changes, ion channel derangement, oxidative stress, and cell apoptosis. Human studies have reported that AKI with concomitant multi-organ dysfunction is associated with a high death rate. We propose that persistent organ dysfunction after AKI can be considered in relation to three proposed mechanisms (1) classical uremic stress and its associated sequelae (2) systemic inflammation as a consequence of kidney injury (3) treatment-related effects. Using this framework, we discuss the known pathways through which AKI can affect the function of a number of remote organs. We review the short- and long-term clinical impact of AKI on other organ systems and potential mechanisms through which AKI may affect remote organ systems. Further elucidating the effects of AKI on remote organ function may lead to new therapeutic strategies to improve outcomes after AKI.

24 July 2009 in Critical Care
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Journal Article
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YPYUN-SHING PENG
YUN-SHING PENG
CWCheng-Shyong Wu
Cheng-Shyong Wu
YCYung-Chang Chen
Yung-Chang Chen
JLJau-Min Lien
Jau-Min Lien
YTYa-Chung Tian
Ya-Chung Tian
MTMing-Hung Tsai
Ming-Hung Tsai
Introduction: Gallstones are the most common cause of acute pancreatitis worldwide. Patients with severe acute biliary pancreatitis (SABP) constitute a subgroup of severe acute pancreatitis (SAP) patients in whom systemic inflammation may be triggered and perpetuated by different mechanisms. The aim of this prospective investigation was to examine the adrenal response to corticotropin and the relationship between adrenal function and outcome in patients with SABP. Methods: Thirty-two patients with SABP were enrolled in this study. A short corticotropin (250 μg) stimulation test (SST) was performed within the first 24 hours of admission to the ICU. Critical illness related corticosteroid insufficiency (CIRCI) was defined as follows: baseline value less than 10 μg/dL, or cortisol response less than 9 μg/dL. Results: CIRCI occurred in 34.4% of patients. The patients with CIRCI were more severely ill as evidenced by higher APACHE II and SOFA scores and numbers of organ system dysfunction on the day of SST. The in-hospital mortality for the entire group was 21.9%. The CIRCI group had a higher hospital mortality rate compared to those with normal adrenal function (45.5% vs. 9.5%, P = 0.032). The hospital survivors had a higher cortisol response to corticotropin (17.4 (8.3–27.1) vs. 7.2 (1.7–12) μg/dL, P = 0.019). The cortisol response to corticotropin inversely correlated with SOFA score and the number of organ dysfunction on the day of SST. The rates of pancreatic necrosis and bacteremia were significantly higher in the CIRCI group (100% vs 42.9%, P = 0.002; 81.8% vs 23.8%, P = 0.003, respectively). Conclusions: CIRCI is common in patients with SABP. It is associated with bacteremia, multiple organ dysfunction and increased mortality.